XRCURE：基於實證醫學的AIOT、XR和可穿戴感測器在AWS上的數位療法

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呂學昊(Hsueh-Hao Lu) 查詢紙本館藏

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論文名稱

XRCURE：基於實證醫學的AIOT、XR和可穿戴感測器在AWS上的數位療法
(XRCURE: Evidence-Based Digital Therapeutics with AIOT, XR and Wearable Sensors on AWS)

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至系統瀏覽論文 (2026-7-31以後開放)

摘要(中)

數位療法通過臨床評估的軟體提供基於實證醫學的干預措施，在可擴展性、即時數據處理和個性化方面優於傳統治療方法。通過分析即時患者數據，這些技術不僅提高了治療效果和患者依從性，還在治療傳統藥物療法無效的慢性疾病如 ADHD、自閉症和神經精神疾病方面顯示出特別的有效性。
XRAICURE 系統整合了 VR、穿戴感測技術和雲端計算，基於我們過去與多家醫療機構合作的經驗，提供了一套全自動化的完整評估與治療服務，成為一種高效的個性化精準醫療解決方案。醫療提供者可以通過網頁平台選擇適合的數位療法，並搭配多種穿戴式感測器，生成即時反饋與詳細的醫療報告，從而實現數據驅動的臨床決策。

摘要(英)

Digital therapeutics offer evidence-based interventions through clinically evaluated software, outperforming traditional treatment methods in scalability, real-time data processing, and personalization. By analyzing real-time patient data, these technologies not only improve treatment efficacy and patient compliance but also show particular effectiveness in managing chronic conditions like ADHD, autism, and neuropsychiatric disorders, where traditional pharmacotherapy may be ineffective.
The XRAICURE system integrates VR, wearable sensing technology, and cloud computing. Based on our past collaborations with several medical institutions, it provides a fully automated comprehensive assessment and treatment service, making it an efficient personalized precision medicine solution. Medical providers can select appropriate digital therapeutics via a web platform, using various wearable sensors to generate real-time feedback and detailed medical reports, thereby enabling data-driven clinical decisions.

關鍵字(中)

★ 數位療法
★ 虛擬實境
★ 人工智慧物聯網
★ 無伺服器
★ 資料視覺化
★ 穿戴式感測器

關鍵字(英)

★ Digital therapeutic
★ Virtual Reality
★ Artificial Intelligence of Things
★ Serverless
★ Data Visualization
★ Wearable Sensors

論文目次

中文摘要 ii
英文摘要 iii
誌謝 iv
Table of Contents v
List of Figures vi
List of Tables vii
I、 Introduction 1
II、 Related Work 4
2-1 Omada Health 4
2-2 Akili Interactive Labs 7
2-3 Cognoa 7
2-4 Kaia Health 8
2-5 Comparison and Insights 8
III、 Method 12
3-1 Diversity of Digital Therapeutics 12
3-2 System workflow 13
3-3 System Architecture on AWS 15
3-4 Multi-Tenant System 17
3-5 Pre-Treatment Procedures 18
3-6 Secure Communication Flow Between Intelligent Medical Platform and Therapeutic Devices 19
3-7 Device Management 21
3-8 Data Upload 23
3-9 Data Analysis 24
3-10 Case Study: EEG Data Analysis in ADHD Treatment 27
3-11 Data Insights and Visualization 29
IV、 Results 32
4-1 Physiological Personalization 32
4-2 Multi-Modal Sensing 32
4-3 Data Insights 34
4-4 Technical Efficiency and Data Security 36
4-5 System Impact and Efficiency 38
V、 CONCLUSION AND FUTURE WORK 40
Reference 43

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指導教授

葉士青吳曉光(Shih-Ching Yeh Hsiao-Kuang Wu)

審核日期

2024-7-31

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